Privacy-aware Kalman filtering

• المؤلفون الرئيسيون: Song, Yang, Wang, Chong Xiao, Tay, Wee Peng
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Electrical and electronic engineering; Kalman Filter; Inference Privacy
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/137345

We are concerned with a privacy-preserving problem in Kalman filter: a sensor releases a set of measurements to fusion center, who has perfect knowledge of the dynamical model, to allow it to estimate the public state, while prevent it from estimating the private state. We propose to linearly transf...